Eiji Takimoto

About

Eiji Takimoto is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Eiji Takimoto has authored 30 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Management Science and Operations Research and 8 papers in Computer Networks and Communications. Recurrent topics in Eiji Takimoto’s work include Machine Learning and Algorithms (12 papers), Advanced Bandit Algorithms Research (10 papers) and Machine Learning and Data Classification (4 papers). Eiji Takimoto is often cited by papers focused on Machine Learning and Algorithms (12 papers), Advanced Bandit Algorithms Research (10 papers) and Machine Learning and Data Classification (4 papers). Eiji Takimoto collaborates with scholars based in Japan, United States and Saudi Arabia. Eiji Takimoto's co-authors include Kohei Hatano, Manfred K. Warmuth, Ehab Mahmoud Mohamed, Akira Maruoka, Sherief Hashima, Takao Nishizeki, Vladimir Vovk, Rocco A. Servedio, Marcus Hütter and Masayuki Takeda and has published in prestigious journals such as IEEE Access, Neural Computation and IEEE Communications Letters.

In The Last Decade

Co-authorship network of co-authors of Eiji Takimoto i

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Fields of papers citing papers by Eiji Takimoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eiji Takimoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eiji Takimoto. The network helps show where Eiji Takimoto may publish in the future.

Countries citing papers authored by Eiji Takimoto

Since Specialization

Citations

This map shows the geographic impact of Eiji Takimoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eiji Takimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiji Takimoto more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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